Discussion and justification based on r only is not sufficient. Correlation = 0.96 There appears to be a linear trend between the two variables. As the data points are relatively close to the regression line‚ it can be stated that there is strong positive association between chest and weight. The correlation coefficient of 0.96 (very close to 1) confirms that the linear relationship is very strong and positive. Model obtained‚ equation specified in context and prediction made in context
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Attack Known plaintext attack Security Key size Diffusion and Confusion Conclusion References Hill Cipher Introduction Invented by Lester S. Hill in 1929‚ the Hill cipher is a polygraphic substitution cipher based on linear algebra. Hill used matrices and matrix multiplication to mix up the plaintext. To counter charges that his system was too complicated for day to day use‚ Hill constructed a cipher machine for his system using a series of geared wheels and chains
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SEMESTER 3 INDIAN INSTITUTE OF MANAGEMENTAND ENGINEERING CORPORATE LAWS $ SECRETARIAL PRACTICE PART 1 MARKS 80 Attempt any Four Q1 (A) How are the first directors of the company appointed? (B) What is the notice period required for a board meeting? Q2 (A) Can a company appoint managing director and manager simultaneously? (B) Is company allowed to appoint a part-time secretary instead of a Whole-time Secretary? Q3 (A) Who can fix the remuneration of auditors under
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Research. Briefly 1 explain the techniques and tools of Operations Research. Operations Research Methodology Techniques and tools of Operations Research 2 5 10 5 a. Explain the steps involved in linear programming problem formulation. Discuss in brief the advantages of linear programming. b. Alpha Limited produces & sells two different products under the brand names black & white. The profit per unit on these products in Rs. 50 & Rs. 40 respectively. Both the products employ the
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income increases as well. Eventually‚ consumption levels off‚ as the increasing wealth means people spend their money on other meats instead of chicken. The correlation coefficient =.794‚ which means this does have a positive linear correlation. (1.2) Run a linear regression: Chicken price vs. consumption Chicken w/beef+pork+ beef Chicken consumption over time increases Chicken consumption=b0+b1*Income+b2*chicken price+b3*pork price+b4*beef price What’s the estimated
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table and plotting the data. The exploratory analysis was used to clean the data and determine factors to be used for the linear regression model. The cleaning of data involved removing inconsistent metrics like year/years‚ removing percentage signs an converting from factors to numeric for the purpose of regression analysis. Statistical Modelling A standard model of multiple linear regressions was built using the R software to check and determine the relationship between the outcome variable and the
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Personnel Scheduling at United Airlines 1. T. J. Holloran and J. E. Bryn‚ “United Airlines Station Manpower Planning System‚” Interfaces‚ 16(1): 39–50‚ Jan.–Feb. 1986. Despite unprecedented industry competition in 1983 and 1984‚ UNITED AIRLINES managed to achieve substantial growth with service to 48 new airports. In 1984‚ it became the only airline with service to cities in all 50 states. Its 1984 operating profit reached $564 million‚ with revenues of $6.2 billion‚ an increase of 6 percent
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3 hours to do Submit doc or pdf (include code‚ figures) No set office hours but available by email • Requirements for passing Attend all lectures Complete all problem sets (-‚ √‚ +) • Prerequisites Basic familiarity with programming Basic linear algebra‚ differential equations‚ and probability Outline (1) (2) (3) (4) (5) Getting Started Scripts Making Variables Manipulating Variables Basic Plotting Getting Started • To get MATLAB Student Version for yourself » https://msca.mit.edu/cgi-bin/matlab
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chapter we deal only with ordinary DEs‚ NOT partial DEs.] The order of a d.e. is the order of the equation’s highest order derivative; and a d.e. is linear if it can be put in the form any (n)(x)+an−1y (n−1)(x)+· · ·+a1y (1)(x)+a0y(x) = F‚ 1 where ai‚ 0 ≤ i ≤ n‚ and F are all functions of x. For example‚ y = 5y and xy − sin x = 0 are first order linear d.e.; (y )2 + (y )5 − y = ex is third order‚ nonlinear. We observe that in general‚ a d.e. has many solutions‚ e.g. y = sin x + c‚ c an arbitrary
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time between regular customers and new customers so that the total number of customers contacted during the two-week period will be maximized. A technician can contact on average 1.2 regular customers per hour and 1 new customer per hour. Develop a linear programming model that will enable HTS to allocate technician time between regular customers and new customers. Report the optimal solution. Management of High Tech Services (HTS) would like to develop a model that will help allocate its technician’s
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